Package: RobustGaSP
Type: Package
Title: Robust Gaussian Stochastic Process Emulation
Version: 0.6.0
Date/Publication: 2020-07-09 12:30:22 UTC
Authors@R: c(person(given="Mengyang",family="Gu",role=c("aut","cre"),email="mengyang@pstat.ucsb.edu"),
    person(given="Jesus",family="Palomo", role=c("aut"),email="jesus.palomo@urjc.es"),
    person(given="James",family="Berger", role="aut"))
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>
Author: Mengyang Gu [aut, cre],
  Jesus Palomo [aut],
  James Berger [aut]
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel partial Gaussian stochastic process emulator for computer model with massive outputs See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics; Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
License: GPL-2 | GPL-3
LazyData: true
Depends: R (>= 3.5.0), methods
Imports: Rcpp (>= 0.12.3), nloptr (>= 1.0.4)
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Repository: CRAN
Packaged: 2020-07-08 22:11:57 UTC; mengyanggu
RoxygenNote: 5.0.1
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 09:11:26 UTC; windows
Archs: i386, x64
